Triple

T21661780
Position Surface form Disambiguated ID Type / Status
Subject Beirut Governorate E534610 entity
Predicate contains P35 FINISHED
Object Kantari
Kantari is a central neighborhood in Beirut, Lebanon, known for its mix of residential buildings, offices, and proximity to key governmental and commercial areas.
E1495636 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kantari | Statement: [Beirut Governorate, contains, Kantari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kantari
Context triple: [Beirut Governorate, contains, Kantari]
  • A. Kariyani
    Kariyani is a village in Gujarat, India, known in the Swaminarayan tradition as one of the locations where the spiritual discourses compiled in the Vachanamrut were delivered.
  • B. Kantoi
    "Kantoi" is a popular bilingual (Malay-English) acoustic pop song by Malaysian singer-songwriter Zee Avi that helped launch her to wider recognition.
  • C. K’ana
    K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
  • D. Karinu
    Karinu is a small village located in Järva County in central Estonia.
  • E. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kantari
Triple: [Beirut Governorate, contains, Kantari]
Generated description
Kantari is a central neighborhood in Beirut, Lebanon, known for its mix of residential buildings, offices, and proximity to key governmental and commercial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kantari
Target entity description: Kantari is a central neighborhood in Beirut, Lebanon, known for its mix of residential buildings, offices, and proximity to key governmental and commercial areas.
  • A. Kariyani
    Kariyani is a village in Gujarat, India, known in the Swaminarayan tradition as one of the locations where the spiritual discourses compiled in the Vachanamrut were delivered.
  • B. Kantoi
    "Kantoi" is a popular bilingual (Malay-English) acoustic pop song by Malaysian singer-songwriter Zee Avi that helped launch her to wider recognition.
  • C. K’ana
    K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
  • D. Karinu
    Karinu is a small village located in Järva County in central Estonia.
  • E. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0883d481908dfdc66832c34d74 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159e783081908b025a92bfa658c9 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.